Rapid analysis of seed size in <it>Arabidopsis</it> for mutant and QTL discovery

<p>Abstract</p> <p>Background</p> <p><it>Arabidopsis thaliana </it>is a useful model organism for deciphering the genetic determinants of seed size; however the small size of its seeds makes measurements difficult. Bulk seed weights are often used as an indi...

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Main Authors: Baldwin Samantha, Day Robert C, Herridge Rowan P, Macknight Richard C
Format: Article
Language:English
Published: BMC 2011-02-01
Series:Plant Methods
Online Access:http://www.plantmethods.com/content/7/1/3
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author Baldwin Samantha
Day Robert C
Herridge Rowan P
Macknight Richard C
author_facet Baldwin Samantha
Day Robert C
Herridge Rowan P
Macknight Richard C
author_sort Baldwin Samantha
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p><it>Arabidopsis thaliana </it>is a useful model organism for deciphering the genetic determinants of seed size; however the small size of its seeds makes measurements difficult. Bulk seed weights are often used as an indicator of average seed size, but details of individual seed is obscured. Analysis of seed images is possible but issues arise from variations in seed pigmentation and shadowing making analysis laborious. We therefore investigated the use of a consumer level scanner to facilitate seed size measurements in conjunction with open source image-processing software.</p> <p>Results</p> <p>By using the transmitted light from the slide scanning function of a flatbed scanner and particle analysis of the resulting images, we have developed a method for the rapid and high throughput analysis of seed size and seed size distribution. The technical variation due to the approach was negligible enabling us to identify aspects of maternal plant growth that contribute to biological variation in seed size. By controlling for these factors, differences in seed size caused by altered parental genome dosage and mutation were easily detected. The method has high reproducibility and sensitivity, such that a mutant with a 10% reduction in seed size was identified in a screen of endosperm-expressed genes. Our study also generated average seed size data for 91 <it>Arabidopsis</it> accessions and identified a number of quantitative trait loci from two recombinant inbred line populations, generated from Cape Verde Islands and Burren accessions crossed with Columbia.</p> <p>Conclusions</p> <p>This study describes a sensitive, high-throughput approach for measuring seed size and seed size distribution. The method provides a low cost and robust solution that can be easily implemented into the workflow of studies relating to various aspects of seed development.</p>
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spelling doaj.art-2024685f138f483a90cc72d0756d39462022-12-22T03:29:21ZengBMCPlant Methods1746-48112011-02-0171310.1186/1746-4811-7-3Rapid analysis of seed size in <it>Arabidopsis</it> for mutant and QTL discoveryBaldwin SamanthaDay Robert CHerridge Rowan PMacknight Richard C<p>Abstract</p> <p>Background</p> <p><it>Arabidopsis thaliana </it>is a useful model organism for deciphering the genetic determinants of seed size; however the small size of its seeds makes measurements difficult. Bulk seed weights are often used as an indicator of average seed size, but details of individual seed is obscured. Analysis of seed images is possible but issues arise from variations in seed pigmentation and shadowing making analysis laborious. We therefore investigated the use of a consumer level scanner to facilitate seed size measurements in conjunction with open source image-processing software.</p> <p>Results</p> <p>By using the transmitted light from the slide scanning function of a flatbed scanner and particle analysis of the resulting images, we have developed a method for the rapid and high throughput analysis of seed size and seed size distribution. The technical variation due to the approach was negligible enabling us to identify aspects of maternal plant growth that contribute to biological variation in seed size. By controlling for these factors, differences in seed size caused by altered parental genome dosage and mutation were easily detected. The method has high reproducibility and sensitivity, such that a mutant with a 10% reduction in seed size was identified in a screen of endosperm-expressed genes. Our study also generated average seed size data for 91 <it>Arabidopsis</it> accessions and identified a number of quantitative trait loci from two recombinant inbred line populations, generated from Cape Verde Islands and Burren accessions crossed with Columbia.</p> <p>Conclusions</p> <p>This study describes a sensitive, high-throughput approach for measuring seed size and seed size distribution. The method provides a low cost and robust solution that can be easily implemented into the workflow of studies relating to various aspects of seed development.</p>http://www.plantmethods.com/content/7/1/3
spellingShingle Baldwin Samantha
Day Robert C
Herridge Rowan P
Macknight Richard C
Rapid analysis of seed size in <it>Arabidopsis</it> for mutant and QTL discovery
Plant Methods
title Rapid analysis of seed size in <it>Arabidopsis</it> for mutant and QTL discovery
title_full Rapid analysis of seed size in <it>Arabidopsis</it> for mutant and QTL discovery
title_fullStr Rapid analysis of seed size in <it>Arabidopsis</it> for mutant and QTL discovery
title_full_unstemmed Rapid analysis of seed size in <it>Arabidopsis</it> for mutant and QTL discovery
title_short Rapid analysis of seed size in <it>Arabidopsis</it> for mutant and QTL discovery
title_sort rapid analysis of seed size in it arabidopsis it for mutant and qtl discovery
url http://www.plantmethods.com/content/7/1/3
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AT dayrobertc rapidanalysisofseedsizeinitarabidopsisitformutantandqtldiscovery
AT herridgerowanp rapidanalysisofseedsizeinitarabidopsisitformutantandqtldiscovery
AT macknightrichardc rapidanalysisofseedsizeinitarabidopsisitformutantandqtldiscovery